HP HP Notebook - 14s-cr2003tx
Geekbench ML Score
791
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 19 2024 01:29 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | HP HP Notebook - 14s-cr2003tx |
| Motherboard | HP 8659 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon 530 Series |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
248
46.4 IPS |
|
|
Image Classification (F16)
|
100% |
249
46.7 IPS |
|
|
Image Classification (I8)
|
100% |
218
40.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
430
7.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
430
7.18 IPS |
|
|
Image Segmentation (I8)
|
98% |
368
6.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
4028
4.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
4029
4.88 IPS |
|
|
Pose Estimation (I8)
|
100% |
3456
4.18 IPS |
|
|
Object Detection (F32)
|
100% |
314
23.4 IPS |
|
|
Object Detection (F16)
|
100% |
315
23.5 IPS |
|
|
Object Detection (I8)
|
64% |
279
20.9 IPS |
|
|
Face Detection (F32)
|
100% |
652
7.75 IPS |
|
|
Face Detection (F16)
|
100% |
650
7.73 IPS |
|
|
Face Detection (I8)
|
89% |
538
6.40 IPS |
|
|
Depth Estimation (F32)
|
100% |
1522
11.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
1518
11.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
1278
9.91 IPS |
|
|
Style Transfer (F32)
|
100% |
6532
8.59 IPS |
|
|
Style Transfer (F16)
|
100% |
6523
8.58 IPS |
|
|
Style Transfer (I8)
|
98% |
5498
7.23 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1584
56.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1591
56.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1041
37.2 IPS |
|
|
Text Classification (F32)
|
100% |
418
601.0 IPS |
|
|
Text Classification (F16)
|
100% |
256
367.9 IPS |
|
|
Text Classification (I8)
|
98% |
169
243.3 IPS |
|
|
Machine Translation (F32)
|
100% |
526
9.68 IPS |
|
|
Machine Translation (F16)
|
100% |
528
9.72 IPS |
|
|
Machine Translation (I8)
|
69% |
302
5.56 IPS |
